R语言 | 峰峦图 / 山脊图

目的：为展示不同数据分布的差异。

1. ggplot2 实现

# 准备数据
dat=mtcars[, c("mpg", "cyl")]
colnames(dat)=c("value", "type")
head(dat)
#                  value type
#Mazda RX4         21.0   6
#Mazda RX4 Wag     21.0   6
#Datsun 710        22.8   4

cols=c("#F71480", "#76069A", "#FF8000")
#
p1=ggplot(dat, aes(x = value, fill = as.factor(type) ) ) +geom_density(alpha = 0.8) +scale_fill_manual(values = cols)+facet_wrap(~type, ncol=1) +  # 按气缸数分面labs(title = "Density of MPG by Cylinder Count-A",x = "Miles Per Gallon (MPG)",y = "Density",fill = "Cylinders") +theme_classic(base_size = 14)+theme(strip.background = element_blank(),  # 去掉小标题背景strip.placement = "outside");p1  # 小标题外部显示
#
p2=ggplot(dat, aes(x = value, fill = as.factor(type) ) ) +geom_density(alpha = 0.8) +scale_fill_manual(values = cols)+facet_wrap(~type, ncol=1, scales="free_y") +  # 按气缸数分面labs(title = "Density of MPG by Cylinder Count-B",x = "Miles Per Gallon (MPG)",y = "Density",fill = "Cylinders") +theme_classic(base_size = 14)+theme(strip.background = element_blank(),  # 去掉小标题背景strip.placement = "outside"); p2  # 小标题外部显示
#

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2. 使用R包 ggridges

图放这里，方便和上图类似。

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library(ggridges)
pB=ggplot(dat, aes(x = value, y = type, fill = factor(type, levels = c("4", "6", "8")) )) + ggridges::geom_density_ridges(alpha = 0.7, show.legend = T) +scale_fill_manual(values = cols)+#scale_y_continuous( expand = c(0,0) )+labs(title = "Density of MPG by Cylinder Count-C",x = "Miles Per Gallon (MPG)",y = "Density",fill = "Cylinders") +theme_classic(base_size = 14); pB
#
pB2=ggplot(dat, aes(x = value, y = type, fill = factor(type, levels = c("4", "6", "8")) )) + ggridges::geom_density_ridges(alpha = 0.7, show.legend = T, stat="binline", bins=25) +scale_fill_manual(values = cols)+#scale_y_continuous( expand = c(0,0) )+labs(title = "Density of MPG by Cylinder Count-D",x = "Miles Per Gallon (MPG)",y = "Density",fill = "Cylinders") +theme_classic(base_size = 14); pB2
#

3. 去掉底部的空隙

pB3=ggplot(dat, aes(x = value, y = type, fill = factor(type, levels = c("4", "6", "8")) )) + ggridges::geom_density_ridges(alpha = 0.7, show.legend = T, scale = 2) +scale_fill_manual(values = cols)+#scale_y_continuous( expand = c(0,0) )+labs(title = "Density of MPG by Cylinder Count-E\nset scale=2",x = "Miles Per Gallon (MPG)",y = "Density",fill = "Cylinders") +# 去掉底部scale_y_discrete(expand = c(0, 0)) +     # will generally have to set the `expand` optionscale_x_continuous(expand = c(0, 0)) +   # for both axes to remove unneeded paddingcoord_cartesian(clip = "on") + # to avoid clipping of the very top of the top ridgelinetheme_classic(base_size = 14); pB3

在这里插入图片描述